research-article

Engaging participants for collaborative sensing of human mobility

Authors:

Helena Rodrigues,

Maria João Nicolau,

Rui João José,

Adriano MoreiraAuthors Info & Claims

UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Pages 729 - 732

https://doi.org/10.1145/2370216.2370376

Published: 05 September 2012 Publication History

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Abstract

Human mobility has been widely studied for a variety of purposes, from urban planning to the study of spread of diseases. These studies depend heavily on large datasets, and recent advances in collaborative sensing and WiFi infrastructures have created new opportunities for generating that data. However, these methods and procedures require the participation of a significant community of users through extended periods of time. In this paper, we address the problem of how to engage people to participate in the data collection process. We have conducted a user study on the utilisation of a mobile collaborative sensing application. We have found that users react positively to campaigns, but it is difficult to keep them participating for long periods of time. We also hypothesise that one must close the loop, rewarding the participants with services based on the collected data, eventually showing that there is added value obtainable from crowd sourcing.

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Cited By

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Perez-Penichet CMoreira A(2014)Analyzing the quality of crowd sensed WiFi data2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)10.1109/PerComW.2014.6815216(272-277)Online publication date: Mar-2014
https://doi.org/10.1109/PerComW.2014.6815216
Meneses FMoreira A(2012)Large scale movement analysis from WiFi based location data2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN.2012.6418885(1-9)Online publication date: Nov-2012
https://doi.org/10.1109/IPIN.2012.6418885

Index Terms

Engaging participants for collaborative sensing of human mobility
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
2. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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Information & Contributors

Information

Published In

UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing

September 2012

1268 pages

ISBN:9781450312240

DOI:10.1145/2370216

General Chair:
Anind K. Dey
Carnegie Mellon University
,
Program Chairs:
Hao-Hua Chu
National Taiwan University, Taiwan
,
Gillian Hayes
University of California, Irvine

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 September 2012

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Ubicomp '12

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Ubicomp '12: The 2012 ACM Conference on Ubiquitous Computing

September 5 - 8, 2012

Pennsylvania, Pittsburgh

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UbiComp '12 Paper Acceptance Rate 58 of 301 submissions, 19%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Perez-Penichet CMoreira A(2014)Analyzing the quality of crowd sensed WiFi data2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)10.1109/PerComW.2014.6815216(272-277)Online publication date: Mar-2014
https://doi.org/10.1109/PerComW.2014.6815216
Meneses FMoreira A(2012)Large scale movement analysis from WiFi based location data2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN.2012.6418885(1-9)Online publication date: Nov-2012
https://doi.org/10.1109/IPIN.2012.6418885

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Index Terms

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Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility Modeling

Modeling Fine-Grained Human Mobility on Cellular Networks

Impacts of Human Mobility in Mobile Data Offloading